Nonlinear Analysis and Prediction of Time Series in Multiphase Reactors [electronic resource] /by Mingyan Liu, Zongding Hu.
by Liu, Mingyan [author.]; Hu, Zongding [author.]; SpringerLink (Online service).
Material type:
BookSeries: SpringerBriefs in Applied Sciences and Technology: Publisher: Cham : Springer International Publishing : 2014.Description: XI, 44 p. 19 illus., 1 illus. in color. online resource.ISBN: 9783319041933.Subject(s): Engineering | Hydraulic engineering | Engineering | Engineering Fluid Dynamics | Fluid- and Aerodynamics | Nonlinear DynamicsDDC classification: 620.1064 Online resources: Click here to access online
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In:
Springer eBooksSummary: This book reports on important nonlinear aspects or deterministic chaos issues in the systems of multi-phase reactors. The reactors treated in the book include gas-liquid bubble columns, gas-liquid-solid fluidized beds and gas-liquid-solid magnetized fluidized beds. The authors take pressure fluctuations in the bubble columns as time series for nonlinear analysis, modeling and forecasting. They present qualitative and quantitative non-linear analysis tools which include attractor phase plane plot, correlation dimension, Kolmogorov entropy and largest Lyapunov exponent calculations and local non-linear short-term prediction.
Introduction -- Experimental -- Analysis tools of time series data -- Results and discussion -- Concluding remarks.
| Item type | Current location | Call number | Status | Date due | Barcode |
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| MAIN LIBRARY | TA357-359 (Browse shelf) | Available |
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Introduction -- Experimental -- Analysis tools of time series data -- Results and discussion -- Concluding remarks.
This book reports on important nonlinear aspects or deterministic chaos issues in the systems of multi-phase reactors. The reactors treated in the book include gas-liquid bubble columns, gas-liquid-solid fluidized beds and gas-liquid-solid magnetized fluidized beds. The authors take pressure fluctuations in the bubble columns as time series for nonlinear analysis, modeling and forecasting. They present qualitative and quantitative non-linear analysis tools which include attractor phase plane plot, correlation dimension, Kolmogorov entropy and largest Lyapunov exponent calculations and local non-linear short-term prediction.
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